Online or onsite, instructor-led live AI Engineering training courses demonstrate through interactive hands-on practice how to apply artificial intelligence techniques to solve complex problems in various domains.
AI Engineering training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live AI Engineering trainings in Surrey can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Surrey - King Cross
7404 King George Blvd, Surrey, Canada, V3W 1N6
In one of Canada's fastest growing major cities, our King's Cross business centre is a practical place to do business in Surr...
In one of Canada's fastest growing major cities, our King's Cross business centre is a practical place to do business in Surrey. As well as on-site businesses from banking, insurance and beyond, regular bus links and the King George Boulevard offer fast, convenient connections to the city centre. Newton Exchange the main bus hub connecting to south Surrey the lower main land is but a block away.
King's Cross is a popular mixed-use community site, home to coffee shops, retailers and fast food - ideal for breaks or informal meetings. And with heavy footfall and visibility from the highway, it combines the exposure you'd expect from a city centre with the convenience of an out of town location.
This instructor-led, live training in Surrey (online or onsite) is aimed at beginner-level to intermediate-level AI engineers and software developers who wish to gain a foundational understanding of AI engineering principles and practices.By the end of this training, participants will be able to:
Understand the core concepts and technologies behind AI and machine learning.
Implement basic machine learning models using TensorFlow and PyTorch.
Apply AI techniques to solve practical problems in software development.
Manage and maintain AI projects using best practices in AI engineering.
Recognize the ethical implications and responsibilities involved in developing AI systems.
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